Support aac datatypes

pull/2/head
James Betker 2022-07-01 00:44:20 +07:00
parent f5c246b879
commit 4c3413d008
3 changed files with 19 additions and 4 deletions

@ -45,7 +45,7 @@ def is_wav_file(filename):
def is_audio_file(filename):
AUDIO_EXTENSIONS = ['.wav', '.mp3', '.wma', '.m4b', '.flac']
AUDIO_EXTENSIONS = ['.wav', '.mp3', '.wma', '.m4b', '.flac', '.aac']
return any(filename.endswith(extension) for extension in AUDIO_EXTENSIONS)

@ -23,6 +23,11 @@ def report_progress(progress_file, file):
def process_file(file, base_path, output_path, progress_file, duration_per_clip, sampling_rate=22050):
lp = os.path.basename(file).lower()
if ' live' in lp or 'concert' in lp:
print(f"Skipping file {file} because likely a live performance")
report_progress(progress_file, file)
return
try:
audio = load_audio(file, sampling_rate)
except:
@ -42,9 +47,9 @@ def process_file(file, base_path, output_path, progress_file, duration_per_clip,
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('-path', type=str, help='Path to search for files', default='Y:\\sources\\manual_podcasts_music')
parser.add_argument('-progress_file', type=str, help='Place to store all files that have already been processed', default='Y:\\sources\\manual_podcasts_music\\already_processed.txt')
parser.add_argument('-output_path', type=str, help='Path for output files', default='Y:\\split\\manual_podcasts_music')
parser.add_argument('-path', type=str, help='Path to search for files', default='C:\\Users\\James\\Downloads\\soundcloud-dl\\sc2')
parser.add_argument('-progress_file', type=str, help='Place to store all files that have already been processed', default='C:\\Users\\James\\Downloads\\soundcloud-dl\\sc2\\already_processed.txt')
parser.add_argument('-output_path', type=str, help='Path for output files', default='Y:\\split\\soundcloud_mixes\\bigmix1')
parser.add_argument('-num_threads', type=int, help='Number of concurrent workers processing files.', default=4)
parser.add_argument('-duration', type=int, help='Duration per clip in seconds', default=30)
args = parser.parse_args()

@ -574,6 +574,16 @@ def load_audio(audiopath, sampling_rate, raw_data=None):
import soundfile as sf
audio, lsr = sf.read(audiopath)
audio = torch.FloatTensor(audio)
elif audiopath[-4:] == '.aac':
# Process AAC files using pydub. I'd use this for everything except I'm cornered into backwards compatibility.
from pydub import AudioSegment
asg = AudioSegment.from_file(audiopath)
dtype = getattr(np, "int{:d}".format(asg.sample_width * 8))
arr = np.ndarray((int(asg.frame_count()), asg.channels), buffer=asg.raw_data, dtype=dtype)
arr = arr.astype('float') / (2 ** (asg.sample_width * 8 - 1))
arr = arr[:,0]
audio = torch.FloatTensor(arr)
lsr = asg.frame_rate
else:
audio, lsr = open_audio(audiopath)
audio = torch.FloatTensor(audio)